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Vaga de Data Science

1 vaga: | Publicada em 10/10

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Do you want to play an essential role in building a better future by working on projects that have an impact on society and the environment? Are you interested in looking for game-changing solutions that maximize value creation? Then join our team and come build the future at Siemens! To talk about Siemens in Brazil is to talk about doing what matters to society e. With more than 100 years of experience in the country, the company transforms its excellence in electrification, automation and digitalization into solutions to break borders and bring ingenuity to all Brazilians € Do you want to be part of this team? With more than 100 years of experience in the country, the company transforms its excellence in electrification, automation and digitalization into solutions to break borders and bring ingenuity to all Brazilians € Do you want to be part of this team? See our Data Scientist opportunity. Share or subscribe O What will be your responsibilities? " You identify and understand customer challenges and collaborate with cross-functional teams to translate them into business opportunities focusing om AI solutions. " You implement and deploy AI solutions, apply, develop and work with different GenAI models. " You analyze the results to extract actionable insights and recommendations. " You work with large, complex data sets and apply advanced analytical methods as needed. " You conduct exploratory data analysis to understand the structure and characteristics of the data. " You work with different teams to integrate solutions into business processes and workflows. " You interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way. " You actively and proactively perform market/trend scouting to stay up to date with the latest trends, tools, and techniques " You foster a culture of continuous learning and development. What requirements are we looking for? " You have a Bachelors degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field. " You have at least 3 years experience in advanced data analytics/data science working with AI/ML or NLP " You are skilled in applying algorithmic models and are well acquainted with the properties and limits of state-of-the-art models " You have experience in validating the model results against the stated business objectives. " You are experienced in Python Development, SQL and R " You are experienced in GenAI or NLP developments and preferably working with Langchain " You have experience on AWS or Azure and on cloud technologies like AWS Sagemaker " You have experience in Agile software development methodologies. " You have a strong mindset on the team results and achievements and the ability to translate business requirements into actionable analytics initiatives. " You are hands-on, proactive and have an entrepreneurial mindset. " You are fluent in English mandatory Benefits Package: * Short-term variable remuneration (profit sharing); * Health care; * Dental Care; * Life insurance; * Pharmacy Agreement; * Optical Aid; * Supplement for sick pay; Private Pension; * Parking lot; * Transportation Voucher; * Gympass; * Happy Holidays Card; * Toy card; * Employee Support Program (PAE); * Celebration of the company's anniversary; * Extended maternity leave; * Extended paternity leave; * Parental leave; * Childcare assistance or babysitting; * Share Purchase Program. If you identify with what we are looking for, come apply! Diverse teams are better teams! If we all think alike, innovation hardly happens. That's why we look for talent from different backgrounds, genders, ages, races, sexual orientation, and people with disabilities. At Siemens, opportunities are for everyone. Come with us to build the future! Be part of our team! Candidates from São Paulo and Jundiaí - Hybrid model Other regions from Brazil - Home-Office model